CN113190059A - Greenhouse automatic control system and method based on crop feedback - Google Patents
Greenhouse automatic control system and method based on crop feedback Download PDFInfo
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- CN113190059A CN113190059A CN202110550317.2A CN202110550317A CN113190059A CN 113190059 A CN113190059 A CN 113190059A CN 202110550317 A CN202110550317 A CN 202110550317A CN 113190059 A CN113190059 A CN 113190059A
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Abstract
The invention belongs to the technical field of agricultural informatization, and relates to a greenhouse automatic control system and method based on crop feedback, which comprises the following steps: the system comprises a crop state data acquisition module, a model decision algorithm module, a control decision output module, an environment control module and a crop state data acquisition module, wherein the crop state data acquisition module is used for acquiring crop state data; the model decision algorithm module is used for calculating an optimal greenhouse environment control strategy by combining the greenhouse environment and the energy cost through crop state data; the control decision output module is in butt joint with the environment control module, converts the optimal greenhouse environment control strategy into specific environment control parameters and sends the specific environment control parameters to the environment control module; and the environment control module is used for adjusting the environment state of the greenhouse according to specific environment control parameters. According to the greenhouse management method, the greenhouse management decision can be automatically generated by combining the energy cost according to the crop feedback state, the technical requirements on intelligent greenhouse operation management personnel can be reduced, and the greenhouse management can be more scientifically realized.
Description
Technical Field
The invention relates to a greenhouse automatic control system and method based on crop feedback, belongs to the technical field of agricultural informatization, and particularly relates to the technical field of intelligent greenhouse control.
Background
Facility agriculture is the focus of future agricultural development, and greenhouses are one of the major types of facility agriculture. The intelligent greenhouse has a comprehensive environment control system, can directly adjust a plurality of factors such as indoor temperature, light, water, fertilizer, gas and the like, can realize annual high yield and stable fine vegetables and flowers, and has good economic benefit. According to information collected by sensors such as temperature and humidity, soil moisture and soil temperature in the greenhouse, the information of the sensors is transmitted to the converter by the RS485 bus and is received by an upper computer to be displayed, alarmed and inquired. The monitoring center displays and stores the received sampling data in a table form, then compares the sampling data with a set alarm value, and if the measured value exceeds the set range, the monitoring center displays an alarm or gives an alarm through a screen. The higher the greenhouse, the more complex the control strategy, the higher the demand on operators who actually manage the greenhouse.
At present, an intelligent control system in a greenhouse can integrate sensor data, realize accurate environment control according to cultivation requirements, but adjust a real-time environment regulation and control strategy according to the growth state of crops, still need manual work to complete, and has high requirements on operators.
Disclosure of Invention
In view of the above problems, an object of the present invention is to provide an automatic greenhouse control system and method based on crop feedback, which can automatically generate a greenhouse management decision according to a crop feedback state in combination with energy costs, reduce technical requirements on intelligent greenhouse operation managers, and more scientifically implement greenhouse management.
In order to achieve the purpose, the invention adopts the following technical scheme: an automatic greenhouse control system based on crop feedback, comprising: the system comprises a crop state data acquisition module, a model decision algorithm module, a control decision output module, an environment control module and a crop state data acquisition module, wherein the crop state data acquisition module is used for acquiring crop state data; the model decision algorithm module is used for calculating an optimal greenhouse environment control strategy by combining the greenhouse environment and the energy cost through crop state data; the control decision output module is in butt joint with the environment control module, converts the optimal greenhouse environment control strategy into specific environment control parameters and sends the specific environment control parameters to the environment control module; and the environment control module is used for adjusting the environment state of the greenhouse according to specific environment control parameters.
Furthermore, an automatic acquisition sensor interface and a manual acquisition input interface are integrated in the crop state data acquisition module, the automatic acquisition sensor interface is adopted for the intelligent greenhouse, and the manual acquisition input interface is adopted for the non-intelligent greenhouse.
Further, the model decision algorithm module sets the optimal state parameters, detects the deviation between the actual measurement parameters acquired by the crop state data acquisition module and the optimal state parameters, and performs feedback correction of the control parameters according to the deviation.
Further, the model passes the control parameter u required by the cropcropAnd calculating controllable parameters u of an actuating mechanism in the greenhouse, carrying out optimization screening on the control parameters through an economic function and combining with energy cost, and selecting a control strategy with the optimal energy utilization rate to output.
Further, the economic function is:
wherein J (u (t)) is energy cost, t0Is the current time, tfIs the future time to achieve control, L () is the energy input and revenue difference calculation model.
Further, the model decision algorithm module comprises a parameter adjusting submodule, the output result of the algorithm in the model decision algorithm module is compared with the actual measurement value of the crop state data acquisition module, and the parameter of the model is adjusted by the parameter adjusting submodule according to the comparison result.
Further, the control decision output module converts the crop demand conditions output by the model calculation into environment control parameters which can be controlled by the environment control module.
Further, aiming at the intelligent greenhouse, the environment control parameters of the greenhouse are adjusted through a butt joint environment control module; and for the non-intelligent greenhouse, visually displaying parameters to be regulated and controlled, and manually adjusting the environmental state parameters according to a display result.
Further, the environmental state parameters of the greenhouse include: heating set value, ventilation set value, heating track lowest pipeline temperature, heating pipeline lowest temperature between plants, humidity control value, energy curtain position, shading curtain position, light supplement lamp on-off, CO2At least one of the control value and the time interval between two irrigations.
The invention also discloses a greenhouse automatic control system based on crop feedback, which adopts any one of the above greenhouse automatic control systems based on crop feedback and comprises the following steps: s1, collecting crop state data and greenhouse internal environment parameters; s2, calculating an optimal greenhouse environment control strategy according to the crop state data and by combining the greenhouse environment and the energy cost; s3, converting the optimal greenhouse environment control strategy into specific environment control parameters; s4, adjusting the environmental state of the greenhouse according to the environmental control parameters.
Due to the adoption of the technical scheme, the invention has the following advantages: 1. according to the invention, the greenhouse management decision can be automatically generated by combining the energy cost according to the crop feedback state, the technical requirements on intelligent greenhouse operation managers can be reduced, and the greenhouse management can be more scientifically realized. 2. The invention can be compatible with low-end greenhouses and high-end greenhouses, and realizes butt joint and human-computer interaction between systems. 3. The invention combines the growth requirement of crops and the non-uniformity between the control input values of the actuating mechanism, and carries out conversion based on the environment model. 4. The invention can realize the crop state in a proper growth range by the feedback of the crop state in the 7-day time. 5. The invention belongs to data-driven greenhouse management, does not depend on experience and greenhouse management personnel, and can realize multi-region multi-greenhouse migration application.
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FIG. 1 is a schematic diagram of an automatic greenhouse control system based on crop feedback according to an embodiment of the present invention.
Detailed Description
The present invention is described in detail by way of specific embodiments in order to better understand the technical direction of the present invention for those skilled in the art. It should be understood, however, that the detailed description is provided for a better understanding of the invention only and that they should not be taken as limiting the invention. In describing the present invention, it is to be understood that the terminology used is for the purpose of description only and is not intended to be indicative or implied of relative importance.
The invention provides a greenhouse automatic control system and a greenhouse automatic control method based on crop feedback, aiming at the problems that a greenhouse control strategy depends on manual operation and has high requirements on operators and a high-end intelligent greenhouse regulation method is relatively fixed and cannot be compatible with a low-end greenhouse, wherein the greenhouse automatic control system and the greenhouse automatic control method based on crop feedback are used for inputting crop states and greenhouse internal environment parameters into a greenhouse environment model corresponding to specific crops, outputting an optimal greenhouse environment strategy, converting the greenhouse environment strategy into a specific parameter regulation scheme and regulating the greenhouse parameters according to the scheme. The intelligent greenhouse control based on data driving can automatically generate greenhouse management decisions by combining energy cost according to crop feedback states, can reduce technical requirements on intelligent greenhouse operation management personnel, and can realize greenhouse management and control more scientifically. The technical solution of the present invention is explained in detail by three embodiments with reference to the accompanying drawings.
Example one
The embodiment discloses an automatic greenhouse control system based on crop feedback, as shown in fig. 1, including: the system comprises a crop state data acquisition module, a model decision algorithm module, a control decision output module and an environment control module;
the crop state data acquisition module is used for acquiring real-time growth state data of crops, an automatic acquisition sensor interface and a manual acquisition input interface are integrated in the crop state data acquisition module, the automatic acquisition sensor interface is adopted for an intelligent greenhouse, and the manual acquisition input interface is adopted for a non-intelligent greenhouse.
The model decision algorithm module is used for calculating an optimal greenhouse environment control strategy by combining the greenhouse environment and the energy cost through crop state data;
and the control decision output module is in butt joint with the environment control module, converts the optimal greenhouse environment control strategy into specific environment control parameters and sends the specific environment control parameters to the environment control module. The control decision output module combines the actual environment control parameters and set values of the room temperature, and can directly give control suggestions or implement automatic control through an Application Program Interface (API) and an environment control module. The control suggestions are mainly used for greenhouse systems at lower ends which need manual control, and can be visually displayed in forms of tables and the like.
And the environment control module is used for adjusting the environment state of the greenhouse according to specific environment control parameters.
A greenhouse environment control model is integrated in the model decision algorithm module of the embodiment, and the model simulates and calculates the environment state in the greenhouse by combining the existing greenhouse control equipment according to the outdoor environment condition and weather forecast data. Wherein the outdoor environmental conditions include, but are not limited to, air temperature, relative humidity, total solar radiation intensity, wind direction, wind speed, and CO2Concentration, etc., which can be detected by an outdoor environment detection module.
The model decision algorithm module sets the optimal state parameters, detects the deviation between the actual measurement parameters and the optimal state parameters acquired by the crop state data acquisition module, and performs feedback correction of the control parameters according to the deviation. Model passing through crop required control parameter ucropAnd calculating controllable parameters u of an actuating mechanism in the greenhouse, carrying out optimization screening on the control parameters through an economic function and combining with energy cost, and selecting a control strategy with the optimal energy utilization rate to output.
Wherein the economic function is:
wherein J (u (t)) is energy cost, t0Is the current time, tfIs the future time to achieve control, L () is the energy input and revenue difference calculation model.
The model decision algorithm module comprises a parameter adjusting submodule, the output result of the algorithm in the model decision algorithm module is compared with the actual measurement value of the crop state data acquisition module, and the parameter of the model is adjusted by the parameter adjusting submodule according to the comparison result.
The model decision algorithm module combines the crop growth state and the greenhouse environment model, gives an instruction or a method which can be directly executed by a control mechanism, utilizes crop state feedback to realize automatic control of the greenhouse, the feedback period is one week, a set of control logic is executed within one week, but the control logic is not a fixed control parameter, and the control logic can correspondingly control different weathers and energy costs in different time periods according to weather forecast data. By feedback control on a weekly basis, it is possible to ensure that the crop conditions are within a suitable range.
Because the environmental conditions directly required by crops and the directly controllable parameters of the greenhouse environment control execution mechanism are not in a one-to-one correspondence relationship, the control decision output module in the embodiment converts the crop requirement conditions output by the model calculation into the environmental control parameters which can be controlled by the environmental control module according to the crop requirement conditions and the specific environmental control parameters. The control value which can be realized by the environment control module can be directly calculated by utilizing the module according to the plant requirements, so that the system can be conveniently monitored; and when the device is operated manually, the requirement on operators can be reduced. The environmental state parameters of the greenhouse include: heating set value, ventilation set value, heating track lowest pipeline temperature, heating pipeline lowest temperature between plants, humidity control value, energy curtain position, shading curtain position, light supplement lamp on-off, CO2At least one of the control value and the time interval between two irrigations.
In the embodiment, the environment control module adjusts the environment control parameters of the greenhouse by butting the environment control module aiming at the intelligent greenhouse; and for the non-intelligent greenhouse, visually displaying parameters to be regulated and controlled, and manually adjusting the environmental state parameters according to a display result.
Example two
Based on the same inventive concept, the present example plants cherry tomato products in the Netherlands Bleisswijk greenhouseThe technical scheme of the invention is explained by taking the species (Axiany) as an example. Wherein, the greenhouse is 10m long and 9.6m wide. Greenhouse environmental control can be set through the API, and the set values include: heating set value, ventilation set value, heating track lowest pipeline temperature, heating pipeline lowest temperature among plants, humidity control value, energy curtain position, shading curtain position, light supplement lamp on-off, CO2Control values, time intervals between two irrigates, etc.
As shown in FIG. 1, ucrop(t0) Is at t0The plant demand at the moment u (t) is the controllable value of the actual greenhouse control parameter in one week f (u)crop(t0) Is an environment model, can convert between crop demand and greenhouse actuator control point parameters, and J (u (t)) is a formula calculated by economic parameters
The calculated energy cost can be used for screening greenhouse control quantity u (t) by optimizing energy cost J (u (t)), S is the real-time state of the collected plant, and S is the real-time state of the collected plantoptimCalculating the deviation value of the plant demand in the next control period according to the deviation between the real-time state and the optimal state of the plant as the optimal state parameter of the plant growth state
And performing feedback control.
In this example, the crop condition was selected as the stem thickness of the plant after one week of growth point, the best condition Soptim10mm, if the measured value S is 9.5mm, the function g (S) is calculated by deviationoptimS), a deviation value of the feedback control can be calculated
g(SoptimS) is a linear relation model between stem thickness and 24h average temperature and daily cumulative photosynthetic effective radiation amount in the greenhouse, and a series of control strategies for 24h average temperature and daily cumulative radiation amount can be obtained through calculation, such as increasing daily cumulative radiation amount by 50J cm-1And decreaseThe average temperature was 0.25 ℃ over 24 h. Through energy parameters and a greenhouse environment model, the optimal control strategy can be screened out to keep the existing light supplement strategy, and the average temperature of 24h is reduced by 0.5 ℃. The computer-controllable device input parameter related to temperature includes: heating set value, ventilation set value, heating track lowest pipeline temperature, plant heating pipeline lowest temperature, humidity control value, energy curtain position and shading curtain position. In the present example, the model f (u) is usedcrop(t0) The average temperature of the crop demand parameters 24h can be converted into corresponding heating and ventilation temperature set values, a scheme with the lowest energy consumption is screened out by combining weather forecast data, and then the scheme is in butt joint with a greenhouse control system through a control decision output module, so that automatic management and control of the greenhouse are realized.
Example two
Based on the same inventive concept, the embodiment discloses an automatic greenhouse control system based on crop feedback, which adopts any one of the automatic greenhouse control systems based on crop feedback and comprises the following steps:
s1, collecting crop state data and greenhouse internal environment parameters;
s2, calculating an optimal greenhouse environment control strategy according to the crop state data and by combining the greenhouse environment and the energy cost;
s3, converting the optimal greenhouse environment control strategy into specific environment control parameters;
s4, adjusting the environmental state of the greenhouse according to the environmental control parameters.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims. The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present application, and shall be covered by the scope of the present application. Therefore, the protection scope of the present application should be defined by the claims.
Claims (10)
1. An automatic greenhouse control system based on crop feedback, comprising: a crop state data acquisition module, a model decision algorithm module, a control decision output module and an environment control module,
the crop state data acquisition module is used for acquiring crop state data;
the model decision algorithm module is used for calculating an optimal greenhouse environment control strategy by combining the greenhouse environment and the energy cost according to the crop state data;
the control decision output module is in butt joint with the environment control module, converts the optimal greenhouse environment control strategy into specific environment control parameters and sends the specific environment control parameters to the environment control module;
and the environment control module is used for adjusting the environment state of the greenhouse according to the specific environment control parameters.
2. The automatic crop feedback-based greenhouse control system of claim 1, wherein the crop status data collection module has integrated therein an automatic collection sensor interface and a manual collection input interface, the automatic collection sensor interface being used for intelligent greenhouses and the manual collection input interface being used for non-intelligent greenhouses.
3. The automatic crop feedback-based greenhouse control system according to claim 1, wherein the model decision algorithm module sets an optimal state parameter, detects a deviation between the measured parameter and the optimal state parameter collected by the crop state data collection module, and performs feedback correction of the control parameter according to the deviation.
4. Greenhouse based on crop feedback as claimed in claim 3Automatic control system, characterized in that the model passes the control parameters u required by the cropcropAnd calculating controllable parameters u of an actuating mechanism in the greenhouse, carrying out optimization screening on the control parameters through an economic function and combining with energy cost, and selecting a control strategy with the optimal energy utilization rate to output.
5. The crop feedback-based greenhouse automation system of claim 4, where the economic function is:
wherein J (u (t)) is energy cost, t0Is the current time, tfIs the future time to achieve control, L () is the energy input and revenue difference calculation model.
6. The automatic crop feedback-based greenhouse control system according to claim 5, wherein the model decision algorithm module comprises a parameter adjustment sub-module, the output of the algorithm in the model decision algorithm module is compared with the actual measurement value of the crop status data acquisition module, and the parameter of the model is adjusted by the parameter adjustment sub-module according to the comparison result.
7. The automatic crop feedback-based greenhouse control system of claim 3, wherein the control decision output module converts the crop demand conditions output by the model calculation into environmental control parameters that can be controlled by the environmental control module.
8. The crop feedback-based greenhouse automation system of claim 2, wherein the environmental control parameters of a greenhouse are adjusted for an intelligent greenhouse by docking the environmental control module; and for the non-intelligent greenhouse, visually displaying parameters to be regulated and controlled, and manually adjusting the environmental state parameters according to a display result.
9. The crop feedback-based greenhouse automation system of claim 8, where the environmental state parameters of the greenhouse include: heating set value, ventilation set value, heating track lowest pipeline temperature, heating pipeline lowest temperature between plants, humidity control value, energy curtain position, shading curtain position, light supplement lamp on-off, CO2At least one of the control value and the time interval between two irrigations.
10. An automatic greenhouse control method based on crop feedback, which is characterized in that the automatic greenhouse control system based on crop feedback as claimed in any one of claims 1-9 is adopted, and comprises the following steps:
s1, collecting crop state data and greenhouse internal environment parameters;
s2, calculating an optimal greenhouse environment control strategy according to the crop state data and by combining greenhouse environment and energy cost;
s3, converting the optimal greenhouse environment control strategy into specific environment control parameters;
s4, adjusting the environmental state of the greenhouse according to the environmental control parameters.
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Cited By (2)
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| CN116449897A (en) * | 2023-06-08 | 2023-07-18 | 北京市农林科学院智能装备技术研究中心 | Greenhouse environment optimal control method, server and system |
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Application publication date: 20210730 |